Sentence examples for data is prone from inspiring English sources

But due to the nature of the aforementioned sensors, this localization data is prone to drift.

The data worth implied by the surface soil water content data and groundwater level data is prone to corruption by a deviated initial guess.

It is also noted that collecting and recording experimental data is prone to error, so the recorded values in the literature will contain some inaccuracies.

This is can be attributed to the complexity of the flow at the stern; hence extrapolation of data is prone to an approximate estimation.

It's worth noting that this data is prone to bias and may well overstate the number of 'showstopping bugs' (testers probably had a strong incentive to rate their bugs as 'showstopper' so as to have a better chance at the prize).

The direct comparison between the PET-derived data and ex vivo data is prone to bias induced by attenuation correction and partial volume effects as well as motion artifacts specifically in the ROI on the left ventricle; all these effects suggest that the VT* from PET might be overestimated compared with ex vivo measurements.

But teachers' unions have fought to make sure evaluations do not rely too heavily on testing data, contending that the data are prone to errors.

Studies using observational data are prone to selection bias, with the treatment effect potentially being confounded with individual, provider or other characteristics [3].

Given that most previous throughfall studies relied on method-of-moments variogram estimation and sample sizes ≪200, currently available data are prone to large uncertainties.

While this does work most of the time, the encrypted data are prone to prying security thieves, who could decipher sensitive information like the patients' insurance service provider, medication history, etc. Steganography provides an extremely effective alternative to this problem, hiding the very existence of sensitive data by concealing the data in a "carrier".

Bioinformatics approaches, microarray experiments, as well as other high-throughput data are prone to false-positives.